• About Me

    I received my B.Sc. degree in Computer Science at Amirkabir University, Iran, 2011. In my B.Sc. thesis, I worked on Data Mining Query Language in SQL Server. I received my M.Sc. degree in Computer Science at Amirkabir University, Iran, 2013. In my M.Sc thesis, I worked on developing a framework for Decision Tree based rule induction sysmte using Neural Networks in transportation safety prediction. I started my PhD study in Computer Science at University of California Irvine, 2014. My research interests fall in the broad areas of machine learning problems, including convex optimization algorithms, multi-variate time series forecasting, and deep neural networks.

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    Contact address: rasadi [at] uci [dot] edu or LinkedIn

My Specialty

My Skills









Thesis:"Distributed Convex Optimization in Large Scale Systems" GPA:3.9/4.0

Amirkabir University, Iran, 2011-2013

  • Research Areas: Machine Learning in Transportation Problems
  • Thesis: A rule-based induction system for traffic safety prediction via decision trees.

Amirkabir University, Iran, 2007-2011

  • Research Areas: Search Engine Optimization and Data Mining
  • Thesis: A data mining query language API for SQL server

Experiences, Publications and Projects

A Deep learning model for stock market prediction via daily news

Daily news has an impact on stock market prediction problem. We developed a deep learning architecture which capture the effect of daily news along with stock market time series data, and apply natural language processing techniques on news data. The results is presented in here as a technical report.

Distributed Convex Optimization for network flow problem

We developed distributed optimization algorithm for optimal network flow problem, by reducing the number of decision variables using the graph theory. The model has a tremendous improvement compared with classifical optimal network flow methods. The results is published in here

Work Experiences

Teaching Experiences

I have been teaching assistant at University of California Irvine, during 2014-2018, in following courses: Introduction to programming C/C++, Algorithm Design, Advance Data Structure (Professor Dillencourt), Artificial Intelligence (Professor Lathrop and professor Kask)